A global 0.05° dataset for gross primary production of sunlit and shaded vegetation canopies from 1992 to 2020

Author:

Bi WenjunORCID,He Wei,Zhou Yanlian,Ju WeiminORCID,Liu Yibo,Liu Yang,Zhang Xiaoyu,Wei Xiaonan,Cheng Nuo

Abstract

AbstractDistinguishing gross primary production of sunlit and shaded leaves (GPPsun and GPPshade) is crucial for improving our understanding of the underlying mechanisms regulating long-term GPP variations. Here we produce a global 0.05°, 8-day dataset for GPP, GPPshade and GPPsun over 1992–2020 using an updated two-leaf light use efficiency model (TL-LUE), which is driven by the GLOBMAP leaf area index, CRUJRA meteorology, and ESA-CCI land cover. Our products estimate the mean annual totals of global GPP, GPPsun, and GPPshade over 1992–2020 at 125.0 ± 3.8 (mean ± std) Pg C a−1, 50.5 ± 1.2 Pg C a−1, and 74.5 ± 2.6 Pg C a−1, respectively, in which EBF (evergreen broadleaf forest) and CRO (crops) contribute more than half of the totals. They show clear increasing trends over time, in which the trend of GPP (also GPPsun and GPPshade) for CRO is distinctively greatest, and that for DBF (deciduous broadleaf forest) is relatively large and GPPshade overwhelmingly outweighs GPPsun. This new dataset advances our in-depth understanding of large-scale carbon cycle processes and dynamics.

Funder

the Open Funding Project of the State Key Laboratory of Remote Sensing Science

National Natural Science Foundation of China

the National key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

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